If you ask a popular search engine, "How fast is AI advancing?" it may respond that AI computational power is doubling every six months. That power—and the groundbreaking technology it enables—is radically reshaping existing workflows for organizations of all sizes, even as it paves the way for all-new categories of products, services, and industries that were unknown just a few years ago. For the many businesses that are seeking ways to position themselves for success in future AI-dominated marketplaces, there’s no question about whether they’ll be bringing AI onboard. But they may have many questions about how to bring AI onboard in the most secure, right-sized, and cost-effective way.
It can be challenging to navigate the many options and complex decision points of the AI world—even for seasoned IT administrators. In addition to choosing the right AI models and workloads for their specific use cases, companies will need to select the right hosting infrastructure for their applications. Choosing whether to host and manage AI workloads on-premises or in the cloud is a crucial first step.
To help businesses make this critical infrastructure decision, we researched publicly available information about public cloud options in general and one specific on-premises approach: latest-generation Dell PowerEdge servers powered by AMD EPYC processors. We found that while choosing an on-premises solution does typically incur greater up-front expenses than a public cloud solution, an on-premises approach with Dell PowerEdge servers can offer overall advantages in data security, flexibility and control, and long-term cost predictability, among other areas. In addition, when all ongoing costs are considered, companies that opt for an on-premises Dell solution could see TCO savings over time versus hosting in the cloud. For organizations looking to build a winning AI strategy on a solid foundation, Dell PowerEdge servers with AMD may be the way to go.
To learn more about the potential advantages of choosing Dell PowerEdge servers with AMD for on-premises AI, check out the report below.
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